Feronikeli vs Ulpiana: result 2-2 and analysis
SuperligaRegular Season - 26Kick-off on March 19, 2022 at 12:00 PM (UTC)Stadiumi Rexhep Rexhepi, Drenas (Glogovac)
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What was the result of Feronikeli vs Ulpiana?
Feronikeli and Ulpiana drew 2-2 on March 19, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Feronikeli have 0 wins, 2 draws and 13 defeats; Ulpiana have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2022 | Ballkani(away) | 0-6 | Superliga |
| Mar 9, 2022 | Prishtina(home) | 0-3 | Superliga |
| Mar 5, 2022 | Malisheva(away) | 1-6 | Superliga |
| Feb 27, 2022 | Dukagjini(home) | 0-3 | Superliga |
| Feb 23, 2022 | Llapi(away) | 2-4 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2022 | Drita(away) | 0-3 | Cup |
| Mar 12, 2022 | Prishtina(away) | 0-2 | Superliga |
| Mar 9, 2022 | Dukagjini(home) | 1-1 | Superliga |
| Mar 6, 2022 | Gjilani(away) | 0-2 | Superliga |
| Feb 27, 2022 | Drenica Skënderaj(home) | 3-1 | Superliga |
What does the head-to-head say?
Across the last 2 meetings: 1 Feronikeli win, 1 draw, 0 Ulpiana wins.
| Date | Score | Competition |
|---|---|---|
| Dec 5, 2021 | Ulpiana 0-0 Feronikeli | Superliga |
| Oct 3, 2021 | Feronikeli 1-0 Ulpiana | Superliga |
How many goals should we expect?
Feronikeli score 0.3 and concede 2.7 goals per match over their last 15; Ulpiana score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Feronikeli | 0.3 | 2.7 | 2 | 3/15 | 7/15 |
| Ulpiana | 0.9 | 1.7 | 2 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Feronikeli | 8 | 2 | 1 | 5 | 7 | 15 | 7 |
A question about Feronikeli vs Ulpiana?
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy